Evidence mapPaperPMID 41737570Full record

ArticleFrontiers in medicine2025

Serum-urine metabolic integration via UPLC-QTOF/MS uncovers shared pathway biomarkers for cirrhosis diagnosis.

Xiaogang Li, Runxi Wang, Hongbing Zhou, Ruixue Li, Hong Chang, Songli Shi

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiaogang Li *First Affiliated Hospital of Baotou Medical College, Baotou, China.
Runxi Wang *Department of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Hongbing ZhouDepartment of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Ruixue LiFirst Affiliated Hospital of Baotou Medical College, Baotou, China.
Hong ChangDepartment of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Songli ShiDepartment of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Liver cirrhosis is the terminal stage of chronic liver disease, which is marked by high morbidity and mortality in its advanced phases. Although liver biopsy still serves as the gold - standard diagnostic method, the detection of serum and urine metabolites holds great promise for the identification of cirrhosis. Methods: Untargeted metabolomics analysis was carried out using ultra - performance liquid chromatography coupled with quadrupole time - of - flight mass spectrometry (UPLC - QTOF/MS). We compared the serum and urine metabolic profiles between 30 healthy individuals and 28 liver cirrhosis patients to screen for biomarkers associated with liver cirrhosis. Results: A total of 55 endogenous metabolites showed dysregulation in serum, and 51 did so in urine. Four shared differential metabolites-glycoursodeoxycholic acid, urobilin, glycocholic acid, and urobilinogen-were identified in both biofluids. Pathway enrichment analysis revealed three co - regulated metabolic pathways: tryptophan metabolism, glycerophospholipid metabolism, and porphyrin metabolism ( Discussion: This study delineates the distinct metabolic signatures of cirrhosis and proposes a diagnostic strategy based on dual - biofluid analysis. The intersectional biomarkers and pathways elucidate the mechanisms linking bile acid homeostasis and hemoprotein catabolism to cirrhotic progression, offering a noninvasive approach for clinical detection.

Indexed as

cirrhosismetabolic markersserum metabolomicsUPLC-QTOF/MSurine metabolomics

Identifiers

PMID41737570
PMCPMC12926344

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.